ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets.

ABSTRACT:

Background

Currently, Alzheimer's disease (AD) cohort datasets are difficult to find and lack across-cohort interoperability, and the actual content of publicly available datasets often only becomes clear to third-party researchers once data access has been granted. These aspects severely hinder the advancement of AD research through emerging data-driven approaches such as machine learning and artificial intelligence and bias current data-driven findings towards the few commonly used, well-explored AD cohorts. To achieve robust and generalizable results, validation across multiple datasets is crucial.

Methods

We accessed and systematically investigated the content of 20 major AD cohort datasets at the data level. Both, a medical professional and a data specialist, manually c

SUBMITTER: Salimi Y 

PROVIDER: S-EPMC9123725 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature